
David Zimmerman
Solutions Engineer, CS Master's Student, Creative Hobbyist
San Francisco, CA

Technical Skills
Built a product-differentiating data management POC by developing custom Jupyter Notebook Python scripts that call REST APIs and automate data asset ownership changes
Leveraged JavaScript skills to write a script for a federal client that calls IBM REST APIs, feeds a data ingestion pipeline of AI and Natural Language Processing services, and flags relevant international news articles
Developed a reinforcement-based learner that can learn a stock trading strategy based on historical stock indicator data and suggest trades for an out-of-sample time period

Leading solution assessments, demos, and proofs-of-concept (POCs) for Data & AI solutions with 17+ enterprise clients
Delivered a 4-hour workshop on the Microsoft AI portfolio and a demo on using Azure OpenAI service as a chat assistant for onboarding new employees, leading to an AI partnership and training of the customer's new generative AI-focused team
Partnered with product managers to build a WatsonX AI POC that uses supervised machine learning to predict payment processing bottlenecks with 90+% accuracy

Leadership Skills
Published an article on optimizing Azure OpenAI deployments based on customer engagements, which was shared across our 4k-person AI organization as a best practices template
Led a cross-functional team of sales, product management, and engineering to build a worldwide-used AIOps POC that uses supervised machine learning to accurately predict and prevent outages in IT operations
Piloted a program to teach over 600 incoming Solutions Engineers to build full-stack web applications with JavaScript, Node.js, Swagger, Db2, Docker, GitHub, and Red Hat OpenShift






